| Title |
Cerebrovascular pattern improved by ozone autohemotherapy: an entropy-based study on multiple sclerosis patients
|
|---|---|
| Published in |
Medical & Biological Engineering & Computing, October 2016
|
| DOI | 10.1007/s11517-016-1580-z |
| Pubmed ID | |
| Authors |
Filippo Molinari, Daniele Rimini, William Liboni, U. Rajendra Acharya, Marianno Franzini, Sergio Pandolfi, Giovanni Ricevuti, Francesco Vaiano, Luigi Valdenassi, Vincenzo Simonetti |
| Abstract |
Ozone major autohemotherapy is effective in reducing the symptoms of multiple sclerosis (MS) patients, but its effects on brain are still not clear. In this work, we have monitored the changes in the cerebrovascular pattern of MS patients and normal subjects during major ozone autohemotherapy by using near-infrared spectroscopy (NIRS) as functional and vascular technique. NIRS signals are analyzed using a combination of time, time-frequency analysis and nonlinear analysis of intrinsic mode function signals obtained from empirical mode decomposition technique. Our results show that there is an improvement in the cerebrovascular pattern of all subjects indicated by increasing the entropy of the NIRS signals. Hence, we can conclude that the ozone therapy increases the brain metabolism and helps to recover from the lower activity levels which is predominant in MS patients. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 25% |
| Other | 4 | 9% |
| Professor > Associate Professor | 4 | 9% |
| Student > Postgraduate | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 13 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 25% |
| Nursing and Health Professions | 4 | 9% |
| Agricultural and Biological Sciences | 3 | 7% |
| Neuroscience | 3 | 7% |
| Engineering | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 15 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 July 2018.
All research outputs
#7,959,659
of 25,373,627 outputs
Outputs from Medical & Biological Engineering & Computing
#522
of 2,053 outputs
Outputs of similar age
#111,283
of 326,099 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#4
of 16 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 326,099 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.